Online discussions take many forms. Some communication, like emails and texts, allow a group of individuals to privately share information in a linear fashion. Social networks, however, often exhibit non-linear, public discussions between thousands of users simultaneously. Cascades of Twitter and Facebook posts have received significant attention due to their enormous popularity [1]}. Typical research in these topics seeks to simulate the spread of a news article, video, or meme, and has recently been re-invigorated due to a renewed interest in the spread of misinformation. Understanding resharing and retweeting behavior is an important topic, but little attention has been given to predicting the shape of the discussion threads that accompany these social posts.
